Machine Learning Specialist for Energy Sector

2 days ago


Remote, Czech Republic Boneffice System Full time

At Boneffice System, we are seeking a highly skilled Machine Learning Specialist to join our team. This role combines the core responsibilities of both a Python Developer and a Data Scientist, making it ideal for someone with a strong background in both software development and data science.

Job Description

We are looking for a talented individual to design, develop, and deploy machine learning models and data processing pipelines that drive significant innovations in the energy sector. As a Machine Learning Specialist, you will focus on applications like predictive maintenance and virtual twins.

Key Responsibilities:

  • Design and implement sophisticated algorithms and data processing pipelines using Python and libraries such as sklearn, Keras, and PyTorch.
  • Continuously optimize models for performance, scalability, and reliability.
  • Lead data analysis, wrangling, and preprocessing activities to prepare high-quality datasets for machine learning and deep learning models.
  • Work with NoSQL databases and data engineering tools to manage and manipulate large-scale datasets efficiently.
  • Apply power engineering knowledge to address specific industry challenges through data-driven solutions.
  • Develop and maintain robust Python applications focusing on backend services and data processing workflows.
  • Utilize CI/CD tools like Docker and Portainer to ensure smooth deployment, scalability, and maintenance of machine learning applications.

Requirements:

  • Strong Python programming skills.
  • Expertise in machine learning frameworks.
  • Deep understanding of data handling and analysis techniques.
  • Experience with NoSQL databases and data engineering tools.
  • Knowledge of power engineering principles and challenges in the energy sector.

Additional Requirements:

  • AWS cloud computing platform experience.
  • Jira project management experience.
  • Mentoring junior team members and leading technical discussions.
Benefits

We offer a competitive salary and a dynamic, supportive work environment with a focus on personal and professional growth. You will have access to the latest tools, technologies, and training to help you succeed.

Estimated Salary: $120,000 - $180,000 per year

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